Advancement and current status of wear debris analysis for machine condition monitoring: a review

Industrial Lubrication and Tribology

Volumn 65, Issue 1, 2013, Pages 3-11

  Kumar, Manoj ^a   Shankar Mukherjee, Parboti ^b   Mohan Misra, Nirendra ^b  

^a Department of Mechanical Engineering ^*  (India)

^b INDIAN SCHOOL OF MINES   (India)

Author keywords

Condition monitoring; Electric machines; Morphol; Wear; Wear debris

Indexed keywords

ARTIFICIAL INTELLIGENCE SYSTEMS; ARTIFICIAL INTELLIGENCE TOOLS; COMPUTER IMAGE ANALYSIS; COMPUTER IMAGES; CONVENTIONAL TECHNIQUES; CURRENT STATUS; DEBRIS FORMATION; HUMAN ERRORS; HUMAN EXPERTISE; HUMAN JUDGMENTS; MACHINE CONDITION MONITORING; MORPHOL; NUMERICAL PARAMETERS; OBJECTIVE METHODS; OFFLINE TEST; SURFACE PARAMETER; WEAR DEBRIS; WEAR DEBRIS ANALYSIS; WEAR PARTICLE CLASSIFICATION; WEAR PARTICLES;

ARTIFICIAL INTELLIGENCE; CONDITION MONITORING; DEBRIS; ELECTRIC MACHINERY;

WEAR OF MATERIALS;

EID: 84873201284     PISSN: 00368792     EISSN: None     Source Type: Journal    
DOI: 10.1108/00368791311292756     Document Type: Article

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